The University of Évora (Universidade de Évora) is a public university in Évora, Portugal. It is the second oldest university in the country, established in 1559 by the cardinal Henry, and receiving University status in April of the same year from Pope Paul IV, as documented in his Cum a nobis papal bull. Running under the aegis of the Society of Jesus (also known as Jesuits) meant that the university was a target of the Marquis of Pombal's Jesuit oppression, being closed down permanently in 1779 and its masters either incarcerated or exiled.It was reopened nearly two hundred years later in 1973 as Instituto Universitário de Évora (University Institute of Évora) by decree of the Minister of Education, José Veiga Simão, in the site of the older university, as part of a set of education policies during the early 1970s that were attempting to reshape Portuguese higher education. Six years later, in 1979, the name was changed to Universidade de Évora.
Molecular subtyping of breast cancer serves as a cornerstone for personalised diagnosis and therapeutic monitoring; nevertheless, the deployment of advanced deep learning models is often hindered by the lack of accurate tumour segmentations in extensive datasets and the intrinsic class imbalance among molecular subtypes, particularly the under-representation of the HER2-enriched subtype in public archives. This study introduces a comprehensive and practical pipeline for characterising breast cancer phenotypes, effectively addressing these challenges. We have collected publicly accessible images belonging to breast cancer from different datasets using magnetic resonance imaging, encompassing categorised molecular subtypes, with or without manual tumour segmentations.Using a 3D Convolutional Neural Network (3D CNN) model trained exclusively on the Duke Breast Cancer MRI dataset, which contains bounding box annotations and molecular subtypes, we developed a robust classifier. To extend our analysis to data without annotations, we applied a Faster R-CNN model, pre-trained on the same Duke dataset, to generate lesion detections in the remaining multicentric datasets. From these, we strategically selected a balanced subset of 200 cases (50 for each phenotype: Luminal A, Luminal B, HER2-enriched and Triple-Negative), based on the highest detection confidence, thus solving the class imbalance problem and ensuring equitable representation of all subtypes for rigorous testing of our classifier. The final validation was performed on an independent clinical dataset from a public hospital in Setúbal, Portugal, where the model demonstrated strong discriminative performance with AUC-ROC values ranging from 0.8786 to 0.9825 across the four molecular subtypes, providing promising evidence of cross-institutional generalisation under a pronounced subtype prior shift between the North American training distribution and the Portuguese evaluation cohort. This work, complemented by a data anonymisation system and close collaboration with clinical specialists, establishes a scalable and effective methodology for precision radiogenomics that simultaneously overcomes the challenges of data imbalance and the absence of detailed annotations. Further multi-site prospective validation on larger and ethnically diverse cohorts is required before clinical deployment.
Background Family members of ICU decedents are at high risk of adverse psychological outcomes, including prolonged grief. However, evidence regarding the effectiveness of existing family support interventions remains limited. Objectives To evaluate the effectiveness of interventions to prevent or treat prolonged grief symptoms among families of patients who die in ICUs. Methods A systematic review and meta-analysis were conducted following JBI methodology. Family members of ICU decedents were included. Databases searched included CINAHL, Academic Search Complete, Psychology and Behavioral Sciences Collection, Cochrane Central Register of Controlled Trials, MEDLINE via PubMed, APA PsycINFO, Web of Science Core Collection, and Scopus. The primary outcome was prolonged grief symptoms. Secondary outcomes included post-traumatic stress symptoms, anxiety and depression symptoms. Mean differences (MD) were pooled using random-effects models with 95% CI. Certainty of the evidence was assessed using the GRADE approach. Results Eight studies were included. Evidence regarding prolonged grief symptoms at six months was uncertain, with no consistent pooled effect observed (MD 0.50; 95% CI –6.41 to 7.41; very low certainty). The pooled estimate was limited by the small number of studies contributing to the meta-analysis. Post-traumatic stress symptoms were reduced at three months (MD –9.29; 95% CI –13.36 to −5.23; low certainty) and at the longest available follow-up, with very low certainty. Small reductions in anxiety and depression symptoms were observed with very low certainty. Conclusions Evidence regarding the effects of ICU-based interventions on prolonged grief symptoms is uncertain. Some interventions may reduce post-traumatic stress, anxiety and depression symptoms. Future research should prioritise powered trials evaluating sustained, theory-driven, multicomponent, and culturally adapted interventions spanning the dying process and bereavement, with explicit attention to grief adaptation mechanisms and longer follow-up periods. Implications for clinical practice Current evidence is uncertain to support recommendations for preventing or treating prolonged grief symptoms. Structured information provision, psychoeducational and supportive approaches, and opportunities for emotional expression delivered before death, during the dying process, and throughout bereavement may be considered as components of family-centred ICU care.
Childhood trauma (CT) has long been linked to adverse outcomes, including self-injurious behaviours. The aim of the present study was to examine the relationship between childhood trauma and self-injurious behaviour (SIB), as well as to assess the associational effect of entrapment in the relationship between those two variables. The sample comprised 273 young adults (75.5
This quantitative, explanatory, and quasi-experimental study evaluated the effects of Career Construction Counseling on the career adaptability of graduate students in Business Administration at a state university in Santa Catarina, Brazil. A total of 41 students participated, divided into an intervention group and a control group. The data were analyzed using analysis of covariance (ANCOVA), analysis of variance (ANOVA), and Pearson’s correlation. The results revealed significant changes in the four dimensions of career adaptability, which remained 3 months after the intervention, as well as significant correlations between adaptability and sociodemographic variables such as age, marital status, education level, and presence of children. Implications for future research and practice are discussed.
In this work, three distinct systems of two linearly coupled maps are investigated, motivated by modeling considerations from the social sciences, broadening previously studied formulations. Numerical simulations are carried out using logistic maps, where, beyond synchronization zones, additional relevant zones are identified, corresponding to fixed-point and period-2 behaviors, as well as phenomena associated with certain transitions between chaotic and periodic dynamics. The study also establishes analytical results, some of which hold for classes of maps beyond the logistic family. A comparative analysis of the three systems is presented, highlighting similarities and differences in the structure of the identified zones and in the observed dynamical phenomena.
